Low-code tools are evolving as companies build applications to meet their needs. Its flexibility and scalability have become a go-to solution for companies and businesses. Companies can now create custom applications with ease and meet customers' demands. But it's logical to imagine that low-code tools will replace developers.
However, low-code tools will never replace developers, especially those working with C++, Python and Java languages. Though low-code tools could replace handwritten codes, companies and businesses need developers to optimize the software and its applications.
Even if low-code is for all developers, it's handy for high-code developers as it eases building applications faster. Ideally, low-code is a powerful software development tool designed to make a developer's life easier.
In this article, we'll discuss what exactly low-code tools are and why they'll likely never replace developers.
What are low-code tools?
Low-code tools are software applications assisting tech and businesses in elevating coding from textual to visual. It operates in a model-driven and drag-and-drop interface. Low-code tools build value-driven enterprise applications, making them suitable for all development skill levels.
Why low-code tools will never replace developers
1.High-level of flexibility:
With a team of developers, you can easily add in-depth functionality to a solution and maintain it without worrying about outages. Sharing responsibilities and allowing professionals to connect and share their ideas is the best way for a business to grow.
2.Collaboration:
The emergence of low-code tools doesn't mean everything built by then will get destroyed; its emergence is due to increased demand on the market. Generally, low-code tools came to make old coding methods fast, efficient and exciting to both developers and businesses.
These tools push developers towards collaboration. They are forced to improve their communication skills, interact directly with clients, sharpen their skills and channel their skills to meet business needs.
3.In-demand low-code skills:
Businesses always have issues to solve. This means that developers with low-code skills will remain in demand. Companies always have improvements they can make. Companies will not only need developers who can use low-code tools, but they may also need written code in areas where low-code does not solve complex issues.
4.Avoid repetitive tasks:
On average, developers spend lots of time dealing with technical debt. But the low-code platform handles loads of work, making it easy to introduce the debt. For instance, developers must refactor the code every time an operating system update is needed. Low-code platforms can handle such types of tasks.
The odds favor the developers because they did not come to the industry to fix and maintain the old but to build new things. They will have enough time to focus on more complex software solutions and applications, eventually improving companies.
Developers will now spend less time creating new codes and focus on developing responsive software that meets customer needs. This means businesses will now have sufficient time to predict customers' needs and develop new software based on that data.
With the ongoing advancement in the tech sector, there is still a software developer shortage. Low-code software and applications can support developers by helping them create applications and features fast. So, low-code tools will never replace developers. Developers must embrace low-code tools and see their career prospects thrive. They should explore low-code tools, build apps, learn how to use the tools and become more productive.

_{The original content of the note was published on Entrepreneur.com. To read the full note visit here}

I tried using ChatGPT to help with a common coding issue when working on CRM applications and merging customer data sources. I asked ChatGPT, “Given two lists of names, write Python code to find near matches of the names and compute a similarity ranking.” ChatGPT replied, “You can use the FuzzyWuzzy library in Python to find near matches and compute similarity rankings between names.” ChatGPT then displayed code to interface with FuzzyWuzzy and included examples to help demonstrate results.
Now, there are debates about how smart ChatGPT is, whether it can write secure code, and why it should attribute its sources. But ChatGPT’s effectiveness is causing many people to consider how generative AI will change people’s creative work in marketing, journalism, the arts, and, yes, software development.
ChatGPT already reached more than 100 million users, and Microsoft is embedding it in Bing and other Office applications. Other generative AI competitors in search platforms include Google’s Bard, and developers can test code-generating AIs such as AlphaCode and GitHub Copilot. A wave of SaaS products, tech platforms, and service providers are integrating ChatGPT capabilities.
If you’re a software developer or a devops engineer, you might experiment with generative AI tools and wonder what it will mean for your profession and how it will change your work.
Remember when you installed your first Amazon Alexa or Google Assistant in your home, expecting it to be as smart and responsive as Star Trek’s computer? It helps you do simple tasks such as set alarms, add items to shopping lists, share the weather forecast, or update you on today’s news, but it’s unlikely to answer more complex questions accurately.
For now, generative AI can help fill gaps and accelerate implementing solutions within the software development life cycle, but we will still need developers to drive appropriate experiences.
Software development has many generational improvements in languages and platforms. Many tools increase a developer’s productivity, improve code quality, or automate aspects of the delivery pipeline. For example, low-code and no-code platforms can help organizations build and modernize more applications, but we’re still coding microservices, developing customer-facing applications, and building machine learning capabilities.
Developers must also consider how ChatGPT raises the bar on user expectations. The keyword search box in your app that isn’t personalized and responds with disappointing results will need an upgrade. As more people are amazed by ChatGPT’s capabilities, employees and customers will expect AI search experiences with natural language queries and apps that answer questions.
Generative AI can also improve workflow and support hyperautomation, connecting people, automation, and AI capabilities. I think about smart health applications, where doctors can ask AI questions about a patient’s condition, the AI responds with similar patients, and the app provides options for doctors that automate ordering procedures or prescriptions.
So, where can software developers leverage generative AI today? It’s easy to see its usefulness in finding coding examples or improving code quality. But product managers and their agile development teams should validate and test their use cases before plugging a generative AI into their application.
ChatGPT is more than a shiny object, but like any new technology, software developers and architects will need to validate where, when, and how to use generative AI capabilities.

_{The original content of the note was published on Infoworld.com. To read the full note visit here}

Sprint planning is a critical step in the agile software development process, as it sets the direction and goals for the upcoming sprint. As a software development leader, it is essential to understand the importance of sprint planning and how to plan and execute sprints to achieve success effectively.
Why Sprint Planning Is Efficient
Sprint planning is a critical step in the agile software development process, as it sets the direction and goals for the upcoming sprint. As a software development leader, it is essential to understand the importance of sprint planning and how to plan and execute sprints to achieve success effectively.
How Sprint Planning Aligns With The Agile Methodology
Emphasizing Adaptability
Because feedback is an important part of our sprints, we've found that sprint planning can promote adaptability and determine how receptive our teams are to it. In our sprint review meeting, our teams share feedback, and we find ways to adapt to it.
Prioritizing Customer Needs
Sprint planning can help teams review the product backlog (a prioritized list of items that need to be completed for the project) and identify the highest priority items that need to be completed during the upcoming sprint.
Collaboration And Communication
Agile methodology values collaboration and communication among team members and encourages team members to share their ideas, concerns and suggestions—promoting better communication and cooperation among team members.
Continuous Improvement
At the end of each sprint, we meet for the sprint review to give feedback and share our successes. This allows us to promote a culture of continuous improvement.
Self-Organization
The agile methodology encourages self-organization, where team members have the autonomy to make decisions and take ownership of their work.
Best Practices For Engineering Leaders Regarding Sprint Planning
Define The Sprint Goal
The sprint goal is a clear and concise statement that defines the overall objective of the sprint. It should be specific, measurable and achievable.
Review The Product Backlog
The product backlog is a prioritized list of items that must be completed for the project. The team should review the backlog and identify the highest-priority items that must be completed during the upcoming sprint.
Determine Sprint Capacity
Sprint capacity is the amount of work the team can realistically accomplish during the upcoming sprint. We determine our sprint capacity by analyzing performance over time and finding a way that's the most efficient for our teams.
Review And Adjust The Process
Reviewing the sprint planning process regularly and adjusting as needed can help ensure that the process is efficient and effective and that the team is progressing toward achieving its goals.
Provide Guidance And Mentorship
Engineering leaders should provide guidance and mentorship to the team members and help them identify and overcome any obstacles they might face during the sprint.
Set A Definition Of "Done"
We define "done" by ensuring we have a shared notion of completeness and quality within the team. We have a list of criteria that establishes what "done" means for each user story.
Conclusion
Sprint planning is a crucial step in the software development process, and it is essential for software development leaders to plan and execute sprints to achieve success effectively. By going through the steps mentioned earlier, software development leaders can ensure that their team stays focused on the essential tasks and is working on items that will have the greatest impact on the project.

_{The original content of the note was published on Forbes.com. To read the full note visit here}

The most important thing in working with an offshore software development partner is to keep in mind that you are collaborating. It’s a partnership not a hierarchy of managers and employees.
A lot of business owners fail to understand this just because they pay and the offshore company does the work. However, they forget that the choice comes from both sides.
If you choose an outsourcing company, you should also wait for them to choose you, if they are a quality one, of course.
Let’s have a look at some important points following which your offshore software development partnership will be a success.
The Do’s in Offshore Software Development Partnerships
1.Clearly state your goals and requirements
2.Research well
3.Do choose an offshore software development company experienced across various industries
4.Communicate and communicate some more
5.Learn to trust your offshore software development partner
6.Time zone difference: Do consider that beforehand
The Don’ts in Offshore Software Development Partnerships
1.Don’t be arrogant: you are not always right
2.Don’t micromanage but don’t disappear from the process as well
3.Don’t forget data security
4.Don’t go after the cheapest offshore software development partner
5.Don’t cling to the plan
6.Don’t deny the cultural differences
An offshore collaboration will help your business grow and boost your bottom line – make sure to get the most of its potential benefits and advantages. Remember that the most important thing is finding a trustworthy and experienced tech partner who genuinely cares about your project and its success. The rest will work out as you go along.

_{The original content of the note was published on Readwrite.com. To read the full note visit here}

At the dawn of every new year, countless individuals contemplate ways to stay committed to beneficial routines and break the bad habits that hold them back. It's not surprising that those who work in software engineering and development have their own unique goals and aspirations they've placed at the top of their priority lists for 2023.
Let's examine the responses three software professionals gave when asked about their top goals for 2023, which, while often technology-specific, suggest an aspiration to make direct, positive contributions to a larger part of the organizations they work for on top of their own self-improvement.
1.Focus on one problem at a time
John Fleming manages the software engineering for the Florida Lottery, based in Tallahassee, Fla.
In addition to working with a wide range of technologies and architectures, Fleming has also held the title of architect, product manager and a number of other software-based leadership roles. As an engineering lead, he is currently tasked with modernizing the Florida Lottery's technology infrastructure with a specific focus on ensuring applications are prepared to handle increased growth in scale and complexity over the next five years.
One of the challenges of large-scale projects like these, Fleming said, is the tendency for developers and engineers to try and solve multiple problems at once instead of dedicating focus on one at a time. This, he explained, can lead them to establish overambitious project goals that simply overextend time and resources that could be better spent on solving one problem the best way possible.
2.Ensure code always meets accessibility requirements
Cayce Koehler is senior software engineer at Teladoc Health, a telemedicine and virtual healthcare company based in Purchase, N.Y. For the past nine years, he's worked as a software developer in several capacities related to web applications, data analytics, enterprise-scale reporting and mobile development.
For Koehler, the top priority in 2023 is to dedicate himself to ensuring that the code he writes complies with Web Content Accessibility Guidelines (WCAG), a set of standards developed by the World Wide Web Consortium to provide persons with disabilities equal access to web-based content. This goal goes together with his work at Teladoc Health, which Koehler said is the first company he's worked at where user accessibility is a top priority.
A large part of this initiative involves reviewing WCAG compliances as a team and planning new iterations of coding if anything gets overlooked, Koehler explained. Meanwhile, QA teams can examine the interface's contrast ratios, sizing and spacing to flag places where the application fails to meet WCAG standards.
3.Increase productivity and write extraordinary code from the start
Kranthi Vanga is a Java developer from Morris Plains, N.J, who provides application support for financial and investment banking services. He has extensive experience in various aspects of software component design, builds and deployment, particularly with Spring. Vanga also has an especially strong background working with customer-facing APIs, he said.
Vanga's 2023 resolution, he said, is especially specific: to finish an algorithmic boot camp to help him write better code, specifically when it comes to matching the right data structures to certain development projects or software operations. Ultimately, he hopes this will help him assist the company in making better business decisions overall in shorter amounts of time.

_{The original content of the note was published on Techtarget.com. To read the full note visit here}

So you’re all set with a great app idea and funding. Now for the fun part—development. Finally, you've reached the moment when the rubber meets the road and ideas become code. You breathe a sigh of relief, thinking the hard part is behind you. But wait; not so fast.
While the app development process can be exciting and full of momentum, even great app ideas get mired in confusion without clear communication. Building an app is a multidisciplinary process that requires insight from many perspectives.
UX scoping refers to the process of turning business and user objectives into precise functional specifications. It’s defining not only what the user needs to be able to do in the app but also how he or she will accomplish it. Done correctly, the process aligns the efforts of your team before a single line of code is written. Luckily, I've found that the recipe for UX scoping success is simple.
The most critical part of a successful UX scoping session is inviting the right people to the conversation. Before you begin, consider everyone who will have a say in the app’s development. Then, form a squad that’s representative of this group. Note that it might not make sense to include every stakeholder in your conversation. Still, your UX scoping session should be representative of key groups.
With multiple perspectives in the room (or Zoom), a neutral UX scoping leader comes in handy. This person need not have the final say on development decisions but should act as a guide for the conversation. Often, this person might have the title of project manager or something similar and will be skilled at keeping the group on time and on task.
UX scoping is the perfect time to get into the weeds. At first, broad strokes and big ideas make sense. Now, it’s important to get clear on the details. Your conversation should go beyond basic functionality to specific user interactions. Of course, details might change during development, but it’s better to have as many functional details as possible scoped out up front.
Instead of assuming everyone is on the same page, speak up and double-check by periodically summarizing your conversation. You might discover that you didn’t reach a consensus or, hopefully, that everyone is on the same page. Both findings are valuable.
As you progress through your UX scoping session, make sure that your session facilitator, a technical writer or someone else in the room is taking great notes. Then, after the conversation, circulate a UX scoping document for everyone to read. This can serve as a contract of sorts and confirm that you’re ready to move forward.
For a smooth, productive and efficient app development process, communication is key. While simply having good communication skills goes a long way, UX scoping fosters an additional layer of clarity that can save you time, money and frustration later. It can be tempting to dive right in and start building your app, but slowing down and building a clear game plan with a multidisciplinary team can make all the difference.

_{The original content of the note was published on Forbes.com. To read the full note visit here}

Mobile device use is pervasive, and has eclipsed traditional computing. We often hear how various malicious mobile apps are released into circulation. For these reasons, mobile app development needs to focus on cybersecurity just as much as it does on functionality and flexibility, if not more so. It’s an inevitable aspect of app development that must be taken more seriously, as the very real threats to business proliferate.
Organizations must heighten their awareness of the many well-known and well-understood security threats to mobile apps, during development and in production. Business enterprises of all sizes and types must heighten their awareness of security and the associated threats during and after app development.
A relentless focus on cybersecurity during mobile app development can keep the organization one step ahead of these threats to ensure greater agility and user-friendliness in the apps. This attention to security will also improve the return on investment in the mobile apps.
Mobile apps need several key capabilities to provide organizations with operational efficiencies and to improve productivity while delivering consistent performance under all threat scenarios. Mobile device hardware, such as cameras and fingerprint scanners should be used to enhance cybersecurity in an “always on” world. Some examples include biometric access controls, like facial recognition, fingerprint scanning, and two-factor authentication. Apps should be designed to work without Wi-Fi or cell signals, so as to maintain user productivity even when normal connectivity fails. And, of course, mobile apps should run successfully on any operating system or mobile device, while maintaining a consistent user experience and security.
Cybersecurity is business-critical to prevent data leakage and unauthorized access to sensitive data assets, A compromised mobile app may well give intruders access to these assets or the ability to take users offline.
Developers can avoid these problems by considering cybersecurity through every stage of mobile app development. Techniques to be considered include encrypted databases (with stringent management of encryption/decryption keys), and encryption of all data while in transit over public networks.
Insecure code is the key cybersecurity issue with mobile app development. Criminals typically exploit poorly designed or programmed code to infect the underlying mobile apps and to use them for nefarious purposes, including stealing sensitive data or demanding exorbitant ransoms (now in the millions of dollars per successful attack).
During mobile app development, enterprises should always apply best practice security measures, including manual or automated code scanning to identify common security weaknesses, like insecure libraries, unpatched development tools, breaches of development standards, insecure third-party code, and stringent standards for coding, testing and updating of production libraries.
A relaxed approach to testing leads to the likelihood of subtle security vulnerabilities in software code, leading to negative consequences. This single oversight can leave an organization vulnerable to a compromised infrastructure and/or successful ransomware attack.
Security continuously evolves to protect against the evolving universe of threats. Companies can take advantage of this protection if they partner with mobile app development specialists to test the effectiveness and security of their mobile apps well before they are deployed into productive use. With such a partnership, organizations can stay a step ahead, by leveraging the latest cybersecurity techniques and trends.
Authentication issues leave mobile apps susceptible to security breaches. The mobile app development industry has been exploring the potential of passwordless solutions, with biometrics and two-factor authentication explored as alternatives for credential validation.
Going forward, cybersecurity should be the primary focus for mobile app developers. Data breaches can be financially crippling for organizations, regardless of the type or cause. More organizations are understanding the need for cybersecurity best practices and should incorporate those practices into every element of the development process.

_{The original content of the note was published on Tripwire.com. To read the full note visit here}

Every successful interaction that occurs between you and your favorite app is the result of the combined efforts of a quality assurance (QA) team. These tireless problem-hunters ensure that every aspect of the apps that mobile device users the world over depend on for their everyday needs work without a hitch, through every single release and update.
The expectations of the modern mobile app user is — that is, almost all of us, nowadays — is nothing short of perfection, and it’s the primary goal of a QA team to ensure an error-free product on each deployment.
The presence of errors and issues can quickly sink an app. Unfortunately, there’s nothing easy about ensuring a bug-free experience. And it’s only getting harder. Today’s software development world becomes more complex by the day, and testing for the many potentials and scenarios that those complexities bring them means that testing itself has become more and more complicated and resource-intensive.
The 1980s: Manual Testing
Let’s take a few moments to consider how we got here. Up until comparatively recently — the “wow-I-guess-that-really-was-a-long-time-ago-now 1980s” — software QA teams relied heavily on manually testing their devices to ensure products pushed out to market performed properly.
It was a simpler time, with devices capable of much less and active in far fewer scenarios, and so manual coding was a sufficient way of testing. While it was tedious work that took a lot of time when thoroughly performed, manual testing worked well for testers.
The 1990s – 2010s: Coded Test Automation
Over the next few decades, advances in testing freed QA testers from the requirements of hands-on laboring through test cases. No longer did they need to manually sniff out bugs in spaghetti piles of code.
They had a new weapon in the war on software issues: Large-scale manual testing had become impractical, and, if any QA team was going to thoroughly test a would-be release in a reasonable amount of time, they needed to execute test scripts through an automation tool.
The 2020s: No-Code Test Automation
Up until very recently, the plight of the QA testing team had become quite dire indeed. To ensure a quality product release, automated testing required ever-increasingly complex code apparatuses meant that QA teams needed to dedicate more and more programmers specifically to testing, rather than to other tasks, like producing new features.
But then came the inevitable. By way of the principle of abstraction — in which interface-based representations pave over incredibly complex processes (consider the ones and zeros hiding behind the article you’re reading now, for example) — many specialists had long heralded the arrival of a rise in a new layer of abstraction, a “No-Code Revolution,” and this has indeed come to fruition of the past few years.
2025? Truly Intelligent Self-Testing Software
That said, in the scheme of things, the No-Code Revolution is just another step forward, and I believe that the next step of software testing is software that tests itself.
I’m not alone on this: Like the No-Code Revolution, self-testing software has been a projected reality for years. At the rate of change and growth in technology, it’s not at all absurd to imagine that by 2025, intelligent test automation (that is, self-testing software), where testing AI operates without human intervention, will greatly expand.
No code still requires people and people aren’t machines: They make mistakes. Even with no code — though greatly reduced — human error remains a factor from which serious issues can still arise. Consider too the excess use of resources, time, and effort that arises from human testing.

_{The original content of the note was published on Thenewstack.io. To read the full note visit here}

Software is more than just program code. It is a collection of executable code, associated libraries, and documentation. Today, we would like to draw your attention to scheduling software development. What is it? How many stages does it include? And where to get a ready-made scheduling application? Let’s dive into this topic step-by-step!
Software capabilities for successful scheduling
Accurate demand forecast
Does the demand forecast determine the level of reserves?
A good scheduling software reviews your sales history and automatically selects the best statistical model to determine future consumer demand.
You can also manage, re-evaluate and modify the forecast based on additional information known within the management team or provided by your suppliers and suppliers.
Projected stock levels
Do you know the optimal level of stock for each product? The lack or excess of reserves entails associated costs and does not allow you to effectively use the funds you invested.
The right scheduling software reserves function calculates and displays inventory levels for future periods. These projected reserve levels are based on current holdings, incoming supply, and projected demand based on your target reserves and projected needs.
Future stock deficits are marked by red and surplus reserves by green. This allows you to ensure that you do not buy, store or limit capital unnecessarily, and provide sufficient reserves to prevent deficits.
Order planning
It is impossible to be always sure when and what things to order according to demands and restrictions of business partners and so on. You can instantly create the perfect order while maintaining the target levels of reserves and ensuring the most efficient use of the investment invested in them. A good scheduling software automatically generates stock offerings and creates an order plan. The software calculates and provides your purchasing system (such as the MRP system) with an optimized order project.
Features of good scheduling software
The scheduling software should match your business objectives and all other processes of your company.
When choosing software for production planning for your company, you need to consider many factors. These may include the total cost of ownership of the chosen solution, reliability, high-quality support and, finally, your ability to evaluate all features before making a decision.
Scheduling software just like any other software can be judged by what it offers and how well it can be used.
This software must meet the following criteria:
operation
transition
Well-designed and accurately developed software, like one from gearheart.io, is supposed to have all the mentioned characteristics.
Fundamentals of scheduling software design
Software development is the process of converting user requirements into some suitable form that helps the programmer in coding and implementing software.
An SRS document is created to assess user requirements, while more specific and detailed software requirements are needed for coding and implementation. The output of this process can be directly used for implementation in programming languages.
Software development is the first step in the SDLC (software development life cycle) that shifts focus from the problem area to the solution area. It tries to specify how to meet the requirements specified in the SRS.
Conclusion
Working with an outsourced team of developers should be convenient and effective, so the choice of IT partner should be approached with full responsibility. It is possible to determine the extent to which developers are suitable, whether they take care of clients, how competent contractor specialists are, and how quickly they respond to your wishes.
Moreover, modern projects and the conditions for their implementation become more demanding and difficult. The range of tasks solved in them is expanding. And the existing ones require special software, like scheduling software by gearheart.io. This is especially felt while managing large projects that have no analogs in the past.

_{The original content of the note was published on Business-review.eu. To read the full note visit here}